Browse State-of-the-Art › Audio declipping
Audio declipping
4 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
Audio declipping is the task of estimating the original audio signal given its clipped measurements.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
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Libraries
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Datasets archive 2025-07-28
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Most implemented papers archive 2025-07-28
4 shown of 4 papers with code (6 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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23 Oct 2024 1 repository listedAutoregressive (AR) modeling is invaluable in signal processing, in particular in speech and audio fields.
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20 May 2022 1 repository listedWe develop the analysis (cosparse) variant of the popular audio declipping algorithm of Siedenburg et al.
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7 Apr 2021 1 repository listedSome audio declipping methods produce waveforms that do not fully respect the physical process of clipping, which is why we refer to them as inconsistent.
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15 Jul 2020 1 repository listedAudio declipping algorithms often make assumptions about the underlying signal, such as sparsity or low-rankness, and about the measurement system.
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